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GLO - Data Analytics Engineering Manager; Manager VII

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Texas General Land Office
Full Time position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Analyst, Data Security
Job Description & How to Apply Below
Position: GLO - Data Analytics Engineering Manager (Manager VII)

GLO - Data Analytics Engineering Manager (Manager VII) – Texas General Land Office

We are seeking a Data Analytics Engineering Manager within the Information Technology Services Department to lead the development and modernization of the agency’s enterprise data platforms. This role combines technical expertise with strategic direction, overseeing data pipelines, architecture, and analytics environments to ensure high‑quality, reliable data for reporting, operational insights, and emerging AI capabilities.

About the Department

The Information Technology Services (ITS) team advances the mission of the Texas General Land Office through technology. ITS delivers secure, reliable, and innovative solutions that enable the agency to serve Texans efficiently and transparently. It operates with a growth mindset, committed to sustainability, operational excellence, customer service, and safeguarding the agency’s information resources. By leveraging modern cloud, automation, and data technologies, ITS drives efficiency, innovation, and resilience across the enterprise.

About

the Role

The Data Analytics Engineering Manager leads the development and modernization of the agency’s enterprise data platforms. This hands‑on leadership position involves working closely with engineering, operations, product, and security teams to drive improvements in data quality, integration, and automation across systems. The manager establishes engineering standards, enhances analytics tooling, and ensures data processes align with statewide technology and security requirements.

Contributions
  • Technical and Analytical Leadership – oversee the development and application of analytical, visualization, and AI tools.
  • Data Architecture and Platform Engineering – lead design, development, and maintenance of enterprise data architecture, including data modeling, warehousing, lakehouse platforms, and supporting infrastructure.
  • Data Integration, Quality, and Interoperability – direct scalable data pipelines and data integration processes; ensure data quality through automated validation, cleansing, and enrichment workflows.
  • Strategic Alignment and Value Creation – collaborate with agency leadership to define and advance data and AI strategies that support mission outcomes.
  • Cloud Data Modernization and Infrastructure – guide modernization efforts by architecting cloud‑based data environments and hybrid infrastructures.
  • Team Leadership and Talent Development – mentor and develop a multidisciplinary team of data engineers, analysts, and AI developers.
Qualifications

Minimum Qualifications
  • Bachelor’s degree in computer science, information systems, computer engineering, or a related field, or equivalent professional experience.
  • Equivalent professional experience may substitute for the degree requirement at a rate of one year of relevant experience for each year of education.
  • A minimum of 7 years experience in data engineering, data management, cloud data, and related disciplines.
Preferred Qualifications
  • Thought leadership and experience in modern data management and driving AI initiatives.
  • Hands‑on experience with cloud‑based data platforms including Snowflake or Databricks.
  • Strong understanding of ETL/ELT processes, API frameworks, data modeling, and data lakehouse architecture.
  • Skilled in designing and maintaining scalable, high‑performance data architectures in cloud or hybrid environments.
  • Familiarity with data governance, data cataloging, and metadata management tools.
  • Working knowledge of analytics and business intelligence tools such as SQL Server and Power BI.
  • Experience integrating analytics and visualization solutions into enterprise systems.
  • Proven ability to lead, mentor, and develop technical teams.
  • Strong communication and stakeholder engagement skills.
  • Demonstrated experience implementing data quality controls, validation frameworks, and governance standards.
  • Understanding of data privacy, security, and compliance requirements.
  • Experience with CI/CD pipelines, data APIs, and automation for analytics environments.
Location Requirements

This position is based in Austin, TX. Candidates must be currently located in the Austin area or willing to…

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